Xiaoyun Li

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I’m 5-th year Ph.D candidate at Sun Yat-sen University, China. I am fortunate to be advised by Prof. Pengfei Chen. Currently, I am a visiting student at The University of Newcastle (advised by Prof. Hongyu Zhang). My research is in the area of intelligent software and cloud system reliability, aiming at developing intelligent and automated softwares and solutions to ensure high reliabilty of cloud systems.

✨ I’m currently on the job market. Hunting for Post-Doc/Data Scientist positions. Please feel free to reach me out via email.

news

Sep 14, 2023 I’m on the job market, hunting for post-doc/data scientist positions.
Jul 27, 2023 One paper on Fine-grained root cause localization using multi-modal data for microservice is accepted by FSE 2023!
Jun 1, 2023 Our paper towards effective log compression is accepted by ICSE 2024 (accepted rate: 6.6%)!

selected publications

  1. ICSE’24
    LogShrink: Effective Log Compression by Leveraging Commonality and Variability of Log Data
    Xiaoyun Li, Hongyu Zhang, Van-Hoang Le, and 1 more author
    ICSE (early) 2024
    PDF Code
  2. FSE’23
    Nezha: Interpretable Fine-Grained Root Causes Analysis for Microservices on Multi-modal Observability Data
    Guangba Yu, Pengfei Chen, Yufeng Li, and 3 more authors
    FSE 2023
    PDF Code
  3. ISSRE’22
    Going through the Life Cycle of Faults in Clouds: Guidelines on Fault Handling
    Xiaoyun Li, Guangba Yu, Pengfei Chen, and 2 more authors
    In ISSRE 2022
    PDF Code
  4. TDSC
    SwissLog: Robust Anomaly Detection and Localization for Interleaved Unstructured Logs
    Xiaoyun Li, Pengfei Chen, Linxiao Jing, and 2 more authors
    IEEE Transactions on Dependable and Secure Computing 2022
    PDF Code
  5. ISSRE’20
    SwissLog: Robust and Unified Deep Learning Based Log Anomaly Detection for Diverse Faults
    Xiaoyun Li, Pengfei Chen, Linxiao Jing, and 2 more authors
    In ISSRE 2020
    PDF Code